Team Lead, Data Services and Infrastructure

Leading and developing a team responsible for data pipelines, architecture, data quality, and reporting services

Designing, managing, andoptimizingdata infrastructure supporting Solar, Wind, and BESS analytics use casesas part of the Clean Energy Data Analytics and Reporting (CEDAR) platform

Owning and administrating core data engineering and analytics platforms used by the Data Analytics team

Ensuring high data quality, reliability, and availability acrossCEDAR and otheroperational and reporting systems

Collaborating with Analytics Engineering, O&M Engineering, and Digital teams to deliver scalable data solutions

The Team Lead - Data Services and Infrastructuresupportsa larger O&M and Data Analytics organization and serves as the primary owner of data platform performance and reliability. This requires strong experience with data architecture, pipeline development, cloud platforms, and operational data systems (e.g., SCADA/DAS), as well as the ability to lead teams and influence cross-functional stakeholders. Excellent communication, prioritization, and strategic planning skills are essential.

The position may include up to5-10% travel to partner officesand project locations.

Key Responsibilities

Operations

• Oversee the design, development, and maintenance of data pipelines and architecture supportingthe Clean Energy Data Analytics and Reporting (CEDAR) platform

• Ensure scalable, reliable ingestion and processing of operational data from SCADA, DAS, and other external data sourcesto the GCP data lake

• Build and lead a team of data engineering and data architecture professionals (initially 2 roles) to support growing data needs

• Oversee the Data Services function, ensuringhigh standardsfor data quality, integrity, and reportingreliability

• Own and administratecore data engineering and analytics tools for the broader Data Analytics team

• Establish andmonitordata quality frameworks, validation processes, and system performance metrics

• Drive standardization of data models, pipelines, and architecture to support long-term scalability

• Participatein Job Safety Assessments and Safety Walks toidentifyjob-site hazards when traveling to sites

Collaboration

• Collaborate with the Analytics Engineering team to ensure data products are built on scalable, reliable infrastructure

• Partner with O&M Engineering to align data systems with operational analytics needs and priorities

• Together with the CE Operations Technologyand Digitalteams,workto deliver successful data pipelines from DAS providers tothe GCP data lake

• Leadintegration engineeringefforts to improve data systems and workflows across teams

• Serve as a key liaison between data platform teams and end users, ensuring data accessibility and usability

• As a subject matter expert, advise otherteam membersacross the organizationon best practices for data-relatedprojects

Growth and Leadership

• Build, mentor, and develop a high-performing team, fostering a culture of accountability, innovation, and continuous improvement

• Define and prioritize the data infrastructure roadmap in alignment with organizational goals and portfolio growth

• Identifyopportunities to improve efficiency, scalability, and reliability of data systems and processes

• Lead adoption of new tools, technologies, and best practices in data engineering andanalytics

• Contribute to strategic planning efforts related to data, analytics, and digital transformation across AES CE

• Promote strong data governance practices, including documentation, standards, and consistency across teams

• Improve and develop processes forutilizingdata to ensuretheoperationof safe,qualityand high-performance projects

• Willingness to continue to learn and grow your skills, constantly evaluating how AES CE operations can be improved

• This roleparticipatesin:

• Budget meetings

• Meetings with O&M Leaders

• Meetings with Regional Leaders

• Meetings with COOs and Executives

• Participates in the budgeting process with O&M leaders, FP&A, Portfolio Asset Management and Commercial team

• Undergraduatedegree in Engineering, Computer Science,DataScienceor equivalent technical field

• 5+ years of experience in data engineering, data architecture, or related roles

• AdvancedproficiencywithSQL and Python

• Experience designing andmaintainingscalable data pipelines (ETL/ELT)

• Experience with cloud-based data platforms (e.g.GCP,Azure,orAWS)

• Experience working with large-scale, time-series datasets (e.g.fromSCADA/DASsystems)

• Strong understanding of data modeling, data architecture, and system design principles

• Experience with data governance frameworks and best practices

• Successful experience workingand managing projectsacross teams,especiallywith agile methodologies

• Strong analytical thinking and problem-solving skills

• Excellent written and verbal communication skills

• High degree of commitment to a quality safety culture and an incident-free work environment

• Personal values consistent with those ofthe AESCorporation

"Plus" Qualifications

• Master's degree in Engineering, Computer Science, Data Science, or equivalent

• Experience with the technical/electrical aspects of Solar PV, Wind, andBatteryEnergy Storage Systems(BESS)

• Experience supporting or building analytics/reporting environments (Power BI, Tableau, etc.)

• Familiarity with orchestration and workflow tools (e.g.Prefect,Airflow)

• Experience with Artificial Intelligence and Machine Learning

• Spanish language skills

The expected salary for this position, at commencement of employment, is between $117,000 and $146,200/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. AES Clean Energy (CE) is seeking a Team Lead, Data Services and Infrastructure to support the Operations and Maintenance (O&M) Engineering team by leading the development, management, and scaling of data systems that underpin the CE portfolio's analytics capabilities. This individual will play a critical role in ensuring the reliability, scalability, and accessibility of data across AES CE's growing fleet of Solar, Wind, and Battery Energy Storage System (BESS) assets. This roleis responsible foroverseeing both data infrastructure and data services functions, including data pipelines,architecture,dataquality, and reporting systems. The Team Lead will build and manage a small, high-impact team while also owning the tools and platforms that enable the broader Data Analytics organization. The ideal candidate will bring a balance of technicalexpertise, leadership capability, and strategic thinking to support a rapidly growing and evolving data environment. At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every dayinour small, global teams. Apply here to start an extraordinary career today. AES's mission is to improve lives by accelerating a safer and greener energy future.We are a global, agile, cohesive organization with an employee engagement level akin to a startup company.AES businesses throughout the world are often recognized asgreat placesto work.Our people share a passion to help meet the world's current and increasing energy needs, whileprovidingcommunities andcountriesthe opportunity for economic growth due to the availability of reliable, affordable electric power. A day in the life of an AESCETeam Lead, Data Services and Infrastructurewill include, but is not limited to